Summary
This website contacted 24 IPs in 2 countries across 8 domains to perform 65 HTTP transactions. The main domain is village.homewood.il.us and was registered NaN years ago.
Submitted URL: https://www.village.homewood.il.us/
AI Security Verdict
Safe Website
Confidence: 96%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Access Denied
Scan Type
public
Language
English
Category
government public service
(83%)Domain Information
Within the United States country-code top-level domain (.il.us), 'www.village.homewood.il.us' is registered and includes subdomain 'www.village'. The second-level label 'homewood' is 8 characters long with 4 vowels and 4 consonants. Segmentation suggests one word: homewood. Average segment length settles at 8 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 2 | 23.192.152.128 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 2 | 142.250.185.227 | United States | AS15169GOOGLE |
| 2 | 216.58.206.40 | United States | AS15169GOOGLE |
| 2 | 23.193.32.172 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 2 | 216.239.32.36 | United States | AS15169GOOGLE |
| 2 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 2 | 23.50.131.140 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 23.50.131.155 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 172.64.147.103 | United States | AS13335CLOUDFLARENET |
| 2 | 2a02:26f0:3500:586::11a6 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 65 | 24 | - | - |
Detected Technologies7
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
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